Data Science in Stratified Healthcare and Precision Medicine

Start Date: 08/09/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/datascimed

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About Course

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here: http://edin.ac/2pn350P

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Course Introduction

Data Science in Stratified Healthcare and Precision Medicine Data scientists and data analysts work across the physical, chemical, and biological boundaries of the human body in virtually every type of healthcare. Precision medicine, data scientists, and healthcare data scientists work side-by-side to solve complex and time-sensitive healthcare problems. Through this course, you will gain hands-on experience in data science in the health domain as well as apply that knowledge in precision medicine and health data analysis. This is a focused course designed to rapidly get you up to speed on the data science process, the data analysts, the data scientists, the data engineers, and the data scientists working side-by-side in real-world problems. We provide the prerequisite materials to get you up and running in the problem solving and data processing associated with data science. By the end of this course you should be able to: - Identify the physical, chemical, and biological processes that are fundamental to problems in health and disease - Design and analyze sample analyses and metabolite determinations using freely available data - Use freely available data to identify the sources of variation in analytical results - Educate yourself in the area of statistical hypothesis testing - Use statistical analysis tools to examine the relationship between variables in a data analysis At the end of this course, you should be able to: - Design statistical tests for hypothesis testing - Explain the basic ideas behind a variety of statistical tests - Conduct hypothesis testing using real world examples - Design a

Course Tag

Data Science Python Programming Machine Learning Image Analysis

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International Precision Medicine Center Precision medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in environment, lifestyle and genes for each person. There are 5 features in precision medicine: Large population cohort, health information record, genomic information, smart healthcare technology and big data analysis technology.
Precision medicine Precision medicine (PM) is a medical model that proposes the customization of healthcare, with medical decisions, practices, and/or products being tailored to the individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other molecular or cellular analysis. Tools employed in precision medicine can include molecular diagnostics, imaging, and analytics/software.
International Precision Medicine Center IPMC builds a precision medical infrastructure and provides services in beauty, nutrition, healthcare, spa, fitness, and precision agriculture, etc. For this, IPMC makes partnerships with global companies and operates a corporation based on a team of researchers in the fields of medicine, biotechnology and ICT, all for successful precision medical care.
Precision medicine The ability to provide precision medicine to patients in routine clinical settings depends on the availability of molecular profiling tests, e.g. individual germline DNA sequencing. While precision medicine currently individualizes treatment mainly on the basis of genomic tests (e.g. Oncotype DX), several promising technology modalities are being developed, from techniques combining spectrometry and computational power to real-time imaging of drug effects in the body. Many different aspects of precision medicine are tested in research settings (e.g., proteome, microbiome), but in routine practice not all available inputs are used. The ability to practice precision medicine is also dependent on the knowledge bases available to assist clinicians in taking action based on test results.
International Precision Medicine Center IPMC aims to help advance science aimed at the discovery and development of effective treatments for human diseases and improving human health. For that, IPMC devotes to build a global ecosystem and standard service platform of Precision Medicine and Precision Industry. It serves as a base for a service-centric Precision Medicine business focused on genome and bio convergence technology, and would willingly take the role as a pioneer of the standardization of future medicine. Moreover, IPMC organizes the world’s largest personalized medicine and preventive medicine conference and serves as a global innovative technology & knowledge hub. Ultimately, IPMC will become a global bio-Service Complex (International Precision Medicine Center) to realize the world’s first bio-ecosystem, and the starting point of the global smart city (International Precision Medicine City).
Precision medicine In his 2015 State of the Union address, U.S. President Barack Obama stated his intention to fund a United States national "precision medicine initiative". A short-term goal of the Precision Medicine Initiative is to expand cancer genomics to develop better prevention and treatment methods. In the long-term, the Precision Medicine Initiative aims to build a comprehensive scientific knowledge base by creating a national network of scientists and embarking on a national cohort study of one million Americans to expand our understanding of health and disease.
Timeline of healthcare in China This is a timeline of healthcare in China, focusing especially on modern science-based medicine healthcare. Major events such as crises, policies and organizations are included.
Timeline of healthcare in Kenya This is a timeline of healthcare in Kenya, focusing especially on modern science-based medicine healthcare. Major events such as crises, policies and organizations are included.
Timeline of healthcare in Ethiopia This is a timeline of healthcare in Ethiopia, focusing especially on modern science-based medicine healthcare. Major events such as policies and organizations are described.
Precision medicine The Mission Statement of the Precision Medicine Initiative reads: "To enable a new era of medicine through research, technology, and policies that empower patients, researchers, and providers to work together toward development of individualized treatments".
Artificial intelligence in healthcare Investments from the US government in healthcare initiatives that will rely on AI include its $1B proposed budget for the Cancer Moonshot and $215M proposed investment in the Precision Medicine Initiative.
Precision medicine Inter-personal difference of molecular pathology is diverse, so as inter-personal difference in the exposome, which influence disease processes through the interactome within the tissue microenvironment, differentially from person to person. As the theoretical basis of precision medicine, the "unique disease principle" emerged to embrace the ubiquitous phenomenon of heterogeneity of disease etiology and pathogenesis. The unique disease principle was first described in neoplastic diseases as the unique tumor principle. As the exposome is a common concept of epidemiology, precision medicine is intertwined with molecular pathological epidemiology, which is capable of identifying potential biomarkers for precision medicine.
Timeline of healthcare in South Africa This is a timeline of healthcare in South Africa, focusing especially on modern science-based medicine healthcare. Major events such as policies and organizations are described.
Precision medicine Precision medicine often involves the application of panomic analysis and systems biology to analyze the cause of an individual patient's disease at the molecular level and then to utilize targeted treatments (possibly in combination) to address that individual patient's disease process. The patient's response is then tracked as closely as possible, often using surrogate measures such as tumor load (v. true outcomes, such as 5 year survival rate), and the treatment finely adapted to the patient's response. The branch of precision medicine that addresses cancer is referred to as "precision oncology".
Data science In 2013, the IEEE Task Force on Data Science and Advanced Analytics was launched, and the first international conference: IEEE International Conference on Data Science and Advanced Analytics was launched in 2014. In 2014, the American Statistical Association section on Statistical Learning and Data Mining renamed its journal to "Statistical Analysis and Data Mining: The ASA Data Science Journal" and in 2016 changed its section name to "Statistical Learning and Data Science". In 2015, the International Journal on Data Science and Analytics was launched by Springer to publish original work on data science and big data analytics. 2013 the first "European Conference on Data Analysis (ECDA)" was organised in Luxembourg establishing the European Association for Data Science (EuADS) in August 2015. In September 2015 the Gesellschaft für Klassifikation (GfKl) added to the name of the Society "Data Science Society" at the third ECDA conference at the University of Essex, Colchester, UK.
Science-Based Medicine Science-Based Medicine is a daily blog with entries covering issues in science and medicine, especially dangerous medical scams and practices. "Science-Based Medicine" is noted as an influential and respected source of information about medical controversies and alternative medicine.
Translational medicine The society provides an annual platform in the form of global congresses where global key opinion leaders, scientists from bench side, public health professionals, clinicians from bedside and industry professionals gather and take part in the panel discussions and scientific sessions on latest updates and developments in translational medicine field including biomarkers, omics sciences, cellular and molecular biology, data mining & management, precision medicine & companion diagnostics, disease modelling, vaccines and community healthcare.
International Precision Medicine Center The first IPMC conference that is scheduled to be held in January 2017, is part of IPMC BOLD CHALLENGE. The theme of ‘Beyond Personalized Medicine: From Womb to Heaven’ will be in-depth presentation on Precision Medicine, including customized medicine and stem cell therapy.At this conference, world’s top class personnel in precision medicine and cell therapy will participate as speakers to present a global vision. Some of the speakers include Dr. Harrier, the co-founder of IPMC and the icon of the global bio industry, and Dr. Andrew, the head of the US Food and Drug Administration(FDA).
Data science he initiated the modern, non-computer science, usage of the term "data science" and advocated that statistics be renamed data science and statisticians data scientists.
Precision Medicine Initiative The Precision Medicine Initiative is a research project created by Barack Obama in 2015 with $215 million in funding that aims to make advances in tailoring medical care to the individual. The project aims to collect genetic and health data from one million subjects.